Generation of Random Numbers with Laplace Distribution

Generation of Laplacian (double exponential) distributed random numbers with mean value mu = 0 and standard deviation sigma = 1.
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Updated 21 Jun 2020

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The present code is a Matlab function that provides a generation of random numbers with Laplace (double exponential) distribution, similarly to built-in Matlab functions “rand” and “randn”. The output of the function is a matrix with Laplacian distributed numbers with mean value mu = 0 and standard deviation sigma = 1. If other values of mu and sigma are a must, then the following form could be used: mu + sigma*randl(m, n).

An example is given in order to clarify the usage of the function. For convenience, the input and output arguments are given in the beginning of the function.

The code is based on the theory described in:

[1] S. Kotz, T. Kozubowski, K. Podgorski. The Laplace Distribution and Generalizations. New York, Springer Science & Business Media, 2001.

Cite As

Hristo Zhivomirov (2024). Generation of Random Numbers with Laplace Distribution (https://www.mathworks.com/matlabcentral/fileexchange/53397-generation-of-random-numbers-with-laplace-distribution), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2017b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.4.0.0

A new version of the code has been uploaded.

1.3.0.0

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1.2.0.0

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1.1.0.0

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1.0.0.0